R Weekly 2023-W48 object-oriented refactoring, benchmarking, Rust + R

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Hello and welcome to this new issue!

• How to have (my) content shared by R Weekly?

This week’s release was curated by Tony ElHabr, with help from the R Weekly team members and contributors.

Highlight

• Object-Oriented Express: Refactoring in R

• Using benchmarking to guide the adoption of dependencies in R packages

• Building a DataFusion CSV reader with arrow-extendr

Insights

• Reading notes on Kill It with Fire by Marianne Bellotti

• Object-Oriented Express: Refactoring in R

• Folks, C’mon, Use Parquet

• Next-generation access to Databricks clusters in RStudio with sparklyr and pysparklyr

• I do not have time (to practice)

• Making SearchBuilder Work in the Server Mode in DT (Help Needed)

R in the Real World

• Predicting viewership for #TidyTuesday Doctor Who episodes

• Extracting information about spatial patterns from spatial signatures

• Time Series Analysis and Understanding a Eurobond Fund with Prophet

• Forecasting potholes with exogenous variables

R in Organizations

• From Local Roots to Global Reach: The Collaborative Expansion of R-Ladies Gaborone

• rOpenSci News Digest, November 2023

R in Academia

• igraph enables fast and robust network analysis across programming languages

Resources

• Master MANOVA in R: One-Way, Two-Way, & Interpretation

• Building Reproducible Analytical Pipelines

New Packages

📦 Go Live for More New Pkgs 📦

CRAN

• {air} 0.2.2: AI Assistant to Write and Understand R Code

• {textrecipes} 1.0.6: Extra ‘Recipes’ for Text Processing

• {froth} 1.0.0: Emulate a ‘Forth’ Programming Environment

• {orbweaver} 0.0.3: Fast and Efficient Graph Data Structures

• {curvir} 0.1.1: Specify Reserve Demand Curves

• {treats} 1.0: Trees and Traits Simulations

• {simStateSpace} 1.0.1: Simulate Data from State Space Models

GitHub or Bitbucket

• {ggppt} 0.1.0: Callout annotations for ggplot2

Updated Packages

🔍 Search on R-universe 🔍

• {happign} 0.2.1: Easy access to French geodata from IGN (National Institute of Geographic) - diffify

• {galah} 2.0.0: Biodiversity Data from the GBIF Node Network - diffify

• {mlflow} 2.8.1: Interface to ‘MLflow’ - diffify

• {simstudy} 0.7.1: Simulation of Study Data - diffify

• {ibmdbR} 1.51.0: IBM in-Database Analytics for R - diffify

• {spatialreg} 1.3-1: Spatial Regression Analysis - diffify

• {tidyterra} 0.5.0: ‘tidyverse’ Methods and ‘ggplot2’ Helpers for ‘terra’ Objects - diffify

• {missRanger} 2.4.0: Fast Imputation of Missing Values - diffify

• {ggmap} 4.0.0: Spatial Visualization with ggplot2 - diffify

Videos and Podcasts

• Listen to the R-Weekly Highlights Podcast

• webR 0.2: R Packages and Shiny for WebAssembly - George Stagg

• David Sluder @ Institute of Nuclear Power Operations - Data Science Hangout

• Advanced Shiny - Running Multiple Linked Shiny Apps - TidyX Episode 164

Call for Participation

• Introducing the rainbowR buddy scheme - The rainbowR buddy scheme is designed to connect LGBTQ+ folks who code in R. This blog post introduces how the scheme works, how to join, and details how it’s implemented in R (a combination of googlesheets4, dplyr and blastula).

Tutorials

• Mocking HTTP redirects

• Building a DataFusion CSV reader with arrow-extendr

• Jacques Bertin’s valued points map with R

• Customized Dorling cartogram with R

• 3MW (Using regular expressions to clean data)

• Using benchmarking to guide the adoption of dependencies in R packages

• Rethinking packages & functions preloading in webR 0.2.2

• Airy Area: approximating surface area of a cell from a 3D point set

• Getting started with theme()

• Linear mixed models with pairwise likelihood

• Downloading STAC data using rsi when you’ve got a geographic CRS or don’t want a composite.

• reactable.extras 0.2.0 Release: Enhanced Interactivity and Efficiency for Shiny Apps

• Unveiling the Magic of LOESS Regression in R: A Step-by-Step Guide with mtcars

• Logarithmic Regression in R: A Step-by-Step Guide with Prediction Intervals

• Mastering Exponential Regression in R: A Step-by-Step Guide

• Octopus 0.4.1: What’s new?

• The “Secret Sauce” Used in Many qeML Functions

• qeML Example: Issues of Overfitting, Dimension Reduction Etc.

R Project Updates

Updates from R Core:

Upcoming Events in 3 Months

Events in 3 Months:

• Using ChatGPT for Exploratory Data Analysis with Python, R and prompting workshop - Nov. 30, 2023

• Beyond choropleth: Advanced map making with R and ggplot2 - Dec. 6-8, 2023

• R and Shiny in Regulatory Submission - Dec. 11, 2023

• Introduction to mixed frequency data models in R workshop - Dec. 14, 2023

• A list of R conferences and meetings

• This week’s local R-User and applied stats events

• Weekly R Workshops for Ukraine

Datasets

• A plethora of datasets at your fingertips

Jobs

💼 Explore Jobs & Gigs Board on RStudio Community 💼

rtistry

Population density in Norway (mainland). A 3D spike map created with #rayshader.#30DayMapChallenge | Day 23: 3D #rstats pic.twitter.com/AwLHIQzdDQ

— Ansgar Wolsing (@_ansgar) November 23, 2023

#30DayMapChallenge Day 25: Antarctica. Five historical expeditions to Antarctica.#rayshader adventures, an #rstats tale pic.twitter.com/MwZZk6ueg9

— tterence on bsky (@researchremora) November 25, 2023

• Tanaka

Quotes of the Week

Haunted objects in #rstats pic.twitter.com/v6QcgrLHuf

— Antoine Fabri (@antoine_fabri) November 22, 2023

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